Research and Publications
Explore published research and white papers made possible by our research-grade real-world data.
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The COVID-19 pandemic further highlighted racial disparities in general healthcare access and outcomes, but limited research has been done to explore whether the pandemic has been associated with changes in racial disparities in cancer care. Care for breast cancer, the second most common cancer among women in the U.S., varies by race, with Black women having higher mortality than White women. This retrospective cohort study used closed claims from the Komodo Research Dataset from August 2018 through May 2023 to describe breast cancer-related healthcare utilization and initial breast cancer staging of adult females by race, pre- and post-COVID-19, with the goal of identifying possible changes in care. The Komodo Research Dataset, a data schema of Komodo’s underlying Healthcare Map specifically created for real-world evidence generation, captures medical and pharmacy encounters, health services expenditures, and utilization records for more than 330 million unique individuals in the U.S.
Body mass index (BMI) is used to classify obesity, an important indicator of health status and a risk factor for numerous chronic diseases. This study evaluated the enhancement of weight availability by integrating EHR-derived BMI data with existing claims, addressing the limitations of relying solely on administrative codes for BMI information. The study used the Komodo Research Dataset linked to Komodo Clinical Observations.
This retrospective study aimed to validate an existing claims-based algorithm to identify patients with HR+/HER2- metastatic breast cancer. Genomics data from NeoGenomics was used to validate the algoritm in the Komodo Research Dataset, an administrative claims database that captures routinely collected health services utilization records.
Adverse obstetric outcomes have been linked to maternal depression. Limited evidence exists on the efficacy of depression management, particularly utilizing antidepressant treatments (ADTs), during pregnancy. This retrospective study sought to describe maternal patient characteristics and depression severity among women with depression or anxiety by whether treatment with ADTs was discontinued vs. maintained during pregnancy. The study used claims data from the Komodo Research Dataset linked with EHR-derived data from Komodo Clinical Observations and Patient Health Questionnaire-9 scores.
In the U.S., 5% to 10% of patients are classified as having uncontrolled moderate-to-severe asthma because they experience poor symptom control and exacerbations despite using medium-to-high dose inhaled corticosteroids and long-acting β2 agonists or muscarinic antagonists. Accordingly, these patients frequently receive multiple bursts of systemic corticosteroids (SCS) to relieve acute exacerbations. Repeated use of SCS may lead to adverse events such as infections, fractures, cardiovascular diseases, and metabolic disorders, which often translate into a substantial economic burden and considerable healthcare resource utilization. This study analyzed the prescription patterns for SCS among patients with asthma using the Komodo Healthcare Map, which tracks the healthcare journeys of 330 million unique individuals in the U.S.
There is currently only one assigned ICD-10-CM code for prediabetes, and it is not clear if this code alone accurately identifies all patients with prediabetes in claims. This retrospective study linked the Komodo Research Dataset — an optimized data schema for real-world evidence generation that is derived from Komodo’s underlying Healthcare Map — with Komodo Lab Results and Quest Diagnostics’ laboratory data to identify patients with prediabetes and assess their progression to type 2 diabetes.
QE Reports
Qualified Entity (QE) reports can also be found here. For information on a specific study or topic, email us at [email protected].